Computational modelling of passive transport of functionalized nanoparticles
Daniela Moreno-Chaparro, Nicolas Moreno, Florencio, Balboa-Usabiaga, Marco Ellero

TL;DR
This study models the passive transport of functionalized nanoparticles using the Rigid Multi-Blob method, revealing how functional groups and confinement influence their diffusion, with implications for biomedical and nanotechnology applications.
Contribution
It introduces the RMB method for accurately simulating complex nanoparticle morphologies and their diffusion behaviors, accounting for functionalization and confinement effects.
Findings
Functional groups significantly affect rotational diffusion.
Morphology and number of groups reduce mobility compared to non-functionalized NPs.
Confinement alters diffusivity and introduces off-diagonal rotational diffusion signatures.
Abstract
Functionalized nanoparticles (NPs) are complex objects present in a variety of systems ranging from synthetic grafted nanoparticles to viruses. The morphology and number of the decorating groups can vary widely between systems. Thus, the modelling of functionalized NPs typically considers simplified spherical objects as a first-order approximation. At the nanoscale label, complex hydrodynamic interactions are expected to emerge as the morphological features of the particles change, and they can be further amplified when the NPs are confined or near walls. Direct estimation of these variations can be inferred via diffusion coefficients of the NPs. However, the evaluation of the coefficients requires an improved representation of the NPs morphology to reproduce important features hidden by simplified spherical models. Here, we characterize the passive transport of free and confined…
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Taxonomy
TopicsPickering emulsions and particle stabilization · Particle Dynamics in Fluid Flows · Diffusion and Search Dynamics
